Create app.py

app.py

@@ -0,0 +1,33 @@
+import streamlit as st
+import requests
+from PIL import Image
+import io
+import os
+
+API_URL = "https://api-inference.huggingface.co/models/Qwen/Qwen-VL"
+
+headers = {
+    "Authorization": f"Bearer {os.getenv('secret')}"
+}
+
+st.title("OCR with Qwen-VL")
+
+uploaded_image = st.file_uploader("Upload an image for OCR", type=["jpg", "jpeg", "png"])
+
+if uploaded_image is not None:
+    image = Image.open(uploaded_image)
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+
+    img_bytes = io.BytesIO()
+    image.save(img_bytes, format='PNG')
+    img_bytes = img_bytes.getvalue()
+
+    st.write("Processing the image...")
+    response = requests.post(API_URL, headers=headers, files={"file": img_bytes})
+
+    if response.status_code == 200:
+        result = response.json()
+        st.write("Extracted Text:")
+        st.text(result.get("generated_text", "No text found in the image"))
+    else:
+        st.write(f"Error: {response.status_code} - {response.text}")